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Sökning: WFRF:(Weiss Emily) > (2021)

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1.
  • Powers, Mark B., et al. (författare)
  • Nonpharmacologic Pain Management Among Hospitalized Inpatients : A Randomized Waitlist-Controlled Trial of Standard Virtual Reality (CGI VR) Versus Video Capture VR (360 degrees 3D/Stereoscopic Video Capture VR)
  • 2021
  • Ingår i: The Clinical Journal of Pain. - : Ovid Technologies (Wolters Kluwer Health). - 0749-8047 .- 1536-5409. ; 37:9, s. 678-687
  • Tidskriftsartikel (refereegranskat)abstract
    • Objectives: Nonpharmacologic pain management strategies are needed because of the growing opioid epidemic. While studies have examined the efficacy of virtual reality (VR) for pain reduction, there is little research in adult inpatient settings, and no studies comparing the relative efficacy of standard animated computer-generated imagery (CGI) VR to Video Capture VR (360 degrees 3D/stereoscopic Video Capture VR). Here, we report on a randomized controlled trial of the relative efficacy of standard CGI VR versus Video Capture VR (matched for content) and also compared the overall efficacy of VR to a waitlist control group.Materials and Methods: Participants (N=103 hospitalized inpatients reporting pain) were randomized to 1 of 3 conditions: (1) waitlist control, (2) CGI VR, or (3) Video Capture VR. The VR and waitlist conditions were 10 minutes in length. Outcomes were assessed pretreatment, post-treatment, and after a brief follow-up.Results: Consistent with hypotheses, both VR conditions reduced pain significantly more relative to the waitlist control condition (d=1.60, P<0.001) and pain reductions were largely maintained at the brief follow-up assessment. Both VR conditions reduced pain by ∼50% and led to improvements in mood, anxiety, and relaxation. Contrary to prediction, the Video Capture VR condition was not significantly more effective at reducing pain relative to the CGI VR condition (d=0.25, P=0.216). However, as expected, patients randomized to the Video Capture VR rated their experience as more positive and realistic (d=0.78, P=0.002).Discussion: Video Capture VR was as effective as CGI VR for pain reduction and was rated as more realistic.
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2.
  • van Zuydam, Natalie, et al. (författare)
  • Genome-Wide Association Study of Peripheral Artery Disease
  • 2021
  • Ingår i: Circulation. - : Lippincott Williams & Wilkins. - 2574-8300. ; 14:5
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Peripheral artery disease (PAD) affects >200 million people worldwide and is associated with high mortality and morbidity. We sought to identify genomic variants associated with PAD overall and in the contexts of diabetes and smoking status. Methods: We identified genetic variants associated with PAD and then meta-analyzed with published summary statistics from the Million Veterans Program and UK Biobank to replicate their findings. Next, we ran stratified genome-wide association analysis in ever smokers, never smokers, individuals with diabetes, and individuals with no history of diabetes and corresponding interaction analyses, to identify variants that modify the risk of PAD by diabetic or smoking status. Results: We identified 5 genome-wide significant (P-association <= 5x10(-8)) associations with PAD in 449 548 (N-cases=12 086) individuals of European ancestry near LPA (lipoprotein [a]), CDKN2BAS1 (CDKN2B antisense RNA 1), SH2B3 (SH2B adaptor protein 3) - PTPN11 (protein tyrosine phosphatase non-receptor type 11), HDAC9 (histone deacetylase 9), and CHRNA3 (cholinergic receptor nicotinic alpha 3 subunit) loci (which overlapped previously reported associations). Meta-analysis with variants previously associated with PAD showed that 18 of 19 published variants remained genome-wide significant. In individuals with diabetes, rs116405693 at the CCSER1 (coiled-coil serine rich protein 1) locus was associated with PAD (odds ratio [95% CI], 1.51 [1.32-1.74], P-diabetes=2.5x10(-9), P-interactionwithdiabetes=5.3x10(-7)). Furthermore, in smokers, rs12910984 at the CHRNA3 locus was associated with PAD (odds ratio [95% CI], 1.15 [1.11-1.19], P-smokers=9.3x10(-10), P-interactionwithsmoking=3.9x10(-5)). Conclusions: Our analyses confirm the published genetic associations with PAD and identify novel variants that may influence susceptibility to PAD in the context of diabetes or smoking status.
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